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We introduce a general framework for several information extraction tasks that share span representations using dynamically constructed span graphs.
Genia corpus - a semantically annotated corpus for bio-textmining
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Hannaneh Hajishirzi, Leila Zilles, Daniel S Weld, and Luke Zettlemoyer. 2013 · 2013
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Joint inference of entities, relations, and coreference
Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng, and Andrew McCallum. 2013 · 2013
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Incremental joint extraction of entity mentions and relations
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
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Named entity recognition for chinese social media with jointly trained embeddings
Nanyun Peng and Mark Dredze. 2015 · 2015
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Semantic relation classification via convolutional neural networks with simple negative sampling
Kun Xu, Yansong Feng, Songfang Huang, and Dongyan Zhao. 2015 · 2015
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Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015 · 2015
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A theoretically grounded application of dropout in recurrent neural networks
Yarin Gal and Zoubin Ghahramani. 2016 · 2016
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
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End-to-end sequence labeling via bi-directional LSTM-CNNs-CRF
A walk-based model on entity graphs for relation extraction
Fenia Christopoulou, Makoto Miwa, and Sophia Ananiadou. 2018 · 2018
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Jointly predicting predicates and arguments in neural semantic role labeling
Luheng He, Kenton Lee, Omer Levy, and Luke Zettlemoyer. 2018 · 2018
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Nested named entity recognition revisited
Arzoo Katiyar and Claire Cardie. 2018 · 2018
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An annotated corpus for machine reading of instructions in wet lab protocols
Chaitanya Kulkarni, Wei Xu, Alan Ritter, and Raghu Machiraju. 2018 · 2018
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Higher-order coreference resolution with coarse-to-fine inference
Kenton Lee, Luheng He, and Luke Zettlemoyer. 2018 · 2018
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The uwnlp system at semeval-2018 task 7: Neural relation extraction model with selectively incorporated concept embeddings
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Xuezhe Ma and Eduard Hovy. 2016 · 2016
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Makoto Miwa and Mohit Bansal. 2016 · 2016
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Joint extraction of events and entities within a document context
Bishan Yang and Tom M Mitchell. 2016 · 2016
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End-to-end neural coreference resolution
Kenton Lee, Luheng He, Mike Lewis, and Luke S. Zettlemoyer. 2017 · 2017
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Cross-sentence n-ary relation extraction with graph lstms
Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih. 2017 · 2017
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End-to-end neural relation extraction with global optimization
Meishan Zhang, Yue Zhang, and Guohong Fu. 2017 · 2017
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Adversarial training for multi-context joint entity and relation extraction
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, and Chris Develder. 2018 · 2018
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Yi Luan, Mari Ostendorf, and Hannaneh Hajishirzi. 2018b · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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N-ary relation extraction using graph-state lstm
Linfeng Song, Yue Zhang, Zhiguo Wang, and Daniel Gildea. 2018 · 2018
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Neural segmental hypergraphs for overlapping mention recognition
Bailin Wang and Wei Lu. 2018 · 2018
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Graph convolution over pruned dependency trees improves relation extraction
Yuhao Zhang, Peng Qi, and Christopher D Manning. 2018 · 2018
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A hierarchical multi-task approach for learning embeddings from semantic tasks
Victor Sanh, Thomas Wolf, and Sebastian Ruder. 2019 · 2019
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